Associate Director, Digital Measurement Platform & Systems Engineering

Experteer Overview In this role, you will lead the design and delivery of production-grade platforms, data pipelines, and AI/ML deployment capabilities that support digital measurement and healthcare applications.You will guide cross-functional teams to translate engineering concepts into scalable, reliable infrastructure.You’ll challenge and evolve architectures, ensuring robust, secure solutions that drive measurable impact.This is a high-visibility leadership role shaping the platform strategy at IQVIA’s life sciences and healthcare tech ecosystem.Compensaciones / Beneficios * Lead transformation of platform, systems, infrastructure, and AI/ML engineering into production-ready solutions * Provide technical leadership and mentorship to engineering teams * Develop platform, backend, cloud, data, and deployment capabilities across products and initiatives * Evaluate and drive adoption of new architectures and engineering approaches * Build and deploy production-grade platforms, backend services, data pipelines, ML deployment frameworks, and automation systems * Improve performance, scalability, reliability, and operational efficiency of platform and data/ML production systems * Lead testing and validation of platforms and deployment capabilities for production viability Responsabilidades * Master’s Degree in a relevant field * 10+ years designing, building, and operating production-grade software platforms and distributed systems * Experience with cloud-native platforms, Kubernetes, DevOps/MLOps, CI/CD, and Infrastructure as Code * Experience deploying and supporting ML, data processing, analytics workloads in production * Experience leading engineering teams and delivering complex platform and cloud infrastructure initiatives * Programming experience in Python, Java, C++ or equivalent Requisitos principales *

Compensaciones / Beneficios * Lead transformation of platform, systems, infrastructure, and AI/ML engineering into production-ready solutions * Provide technical leadership and mentorship to engineering teams * Develop platform, backend, cloud, data, and deployment capabilities across products and initiatives * Evaluate and drive adoption of new architectures and engineering approaches * Build and deploy production-grade platforms, backend services, data pipelines, ML deployment frameworks, and automation systems * Improve performance, scalability, reliability, and operational efficiency of platform and data/ML production systems * Lead testing and validation of platforms and deployment capabilities for production viability Responsabilidades * Master’s Degree in a relevant field * 10+ years designing, building, and operating production-grade software platforms and distributed systems * Experience with cloud-native platforms, Kubernetes, DevOps/MLOps, CI/CD, and Infrastructure as Code * Experience deploying and supporting ML, data processing, analytics workloads in production * Experience leading engineering teams and delivering complex platform and cloud infrastructure initiatives * Programming experience in Python, Java, C++ or equivalent Requisitos principales *